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2023 Green Medicinal Chemistry

Drug Discovery UCLA

Intro to Medicinal Chemistry

Chemistry vs Medicinal Chem vs Pharmacy

Lead Selection and Optimization Chemistry

Machine Learning for Drug Discovery

A.I. for Medicinal Chemistry  -DrugSpace 2023

A.I. Powered Drug Discovery  -Nobel Laureate

Biotechs use A.I. to speed up drug development

A.I. is accelerating Drug Discovery

Drug discovery against viruses

AI3SD Medical Chemistry Lecture

NVIDIA BioNeMo - Drug Discovery

AI & AR in Medicinal Chemistry

Patent First A.I. is redefining Medicine

The future of A.I. and Medicine   -Microsoft VP

20 Life Changing Medical Inventions

A.I. for Personalized Medicine

2023 GREEN MEDICINAL CHEMISTRY

 

 

 

MEDICINAL CHEMISTRY TUTORIAL PLAYLIST (69 VIDEOS)

https://www.youtube.com/watch?v=UHEXXGiegd0&list=PLyqSpQzTE6M9Q9Uo1gEp7B6bLbLFzv27F

 

 

OPEN SOURCE TOOLS FOR MEDICINAL CHEMISTRY

 

  1. RDKit:

    • Website: RDKit

    • RDKit is a powerful cheminformatics toolkit for Python, providing tools for manipulating, analyzing, and visualizing chemical structures, generating fingerprints, calculating properties, and more.
       

  2. OpenChemLib:

    • Website: OpenChemLib

    • OpenChemLib is a fast and robust chemoinformatics library written in C++. It facilitates reading and writing chemical files, generating fingerprints, and calculating properties of compounds.
       

  3. ChemPy:

    • Website: ChemPy

    • ChemPy, a Python library for chemistry, offers a comprehensive set of tools for handling chemical data, including molecules, reactions, and spectra.
       

  4. CDK (Chemistry Development Kit):

    • Website: CDK

    • CDK, an open-source Java library for cheminformatics, provides versatile tools for working with chemical data, covering molecules, reactions, and descriptors.
       

  5. OpenEye:

    • Website: OpenEye

    • OpenEye is a suite of open-source chemistry software tools, offering solutions for cheminformatics, molecular modeling, and drug design.
       

  6. Open Babel:

    • Website: Open Babel

    • Open Babel, a versatile chemistry toolkit, excels in converting between various chemical file formats and generating 3D coordinates for molecules.
       

  7. Babel:

    • Website: Babel

    • Babel, another chemistry toolkit, is proficient in converting between diverse chemical file formats and generating 3D coordinates for molecules.
       

  8. Chemistry Development Kit (CDK):

    • Website: CDK

    • CDK, a Java library for cheminformatics (mentioned previously), offers a rich set of tools for working with chemical data.
       

  9. OpenEye Toolkit (OETK):

    • Website: OpenEye Toolkit

    • OETK, a C++ toolkit for cheminformatics, provides an extensive array of tools for handling chemical data, spanning molecules, reactions, and descriptors.
       

  10. RDKit (Python Version):

    • Website: RDKit

    • RDKit's Python version is a cheminformatics toolkit providing a broad range of tools for working with chemical data, including molecules, reactions, and properties.

 

 

OPEN SOURCE ARTIFICIAL INTELLIGENCE TOOLS FOR MEDICINAL CHEMISTRY
 

  1. ChemScore:

    • Website: ChemScore

    • ChemScore is a machine learning tool for predicting various properties of chemical compounds, including toxicity, solubility, and biodegradability.
       

  2. DeepChem:

    • Website: DeepChem

    • DeepChem is a machine learning toolkit tailored for drug discovery, enabling predictions of chemical compound properties such as activity, toxicity, and ADMET properties.
       

  3. MChem:

    • Website: MChem

    • MChem serves as a machine learning toolkit for medicinal chemistry, facilitating the generation of new chemical compounds, prediction of compound properties, and drug design.
       

  4. Tox21:

    • Website: Tox21

    • Tox21 provides a machine learning dataset used for training models to predict the toxicity of chemical compounds.
       

  5. CLINScore:

    • Website: CLINScore

    • CLINScore is a machine learning tool designed to predict the clinical success of chemical compounds, including bioavailability, clearance, and metabolic stability.
       

  6. ChemSPHERE:

    • Website: ChemSPHERE

    • ChemSPHERE is a platform for cheminformatics and machine learning, offering tools for molecule representation, property calculation, and machine learning model development.
       

  7. ChemDistiller:

    • Website: ChemDistiller

    • ChemDistiller is a machine learning tool extracting knowledge from chemical datasets, identifying patterns, generating hypotheses, and designing new experiments.
       

  8. ChemDataChem:

    • Website: ChemDataChem

    • ChemDataChem is a database of chemical structures and properties, used for searching compounds, finding similarities, and generating datasets for machine learning.
       

  9. ChemML:

    • Website: ChemML

    • ChemML is a machine learning library for chemistry, providing tools for developing and training machine learning models for chemical data.
       

  10. ChemBERT:

    • Website: ChemBERT

    • ChemBERT is a natural language processing (NLP) model for chemistry, used to understand chemical text, generate descriptions, and perform chemical tasks.
       

  11. ChemVec:

    • Website: ChemVec

    • ChemVec is a word embedding model for chemistry, representing chemical compounds as vectors for machine learning tasks.
       

  12. OpenDrugDiscovery Toolkit (ODDT):

    • Website: ODDT

    • ODDT is an open-source data mining toolkit for drug discovery, providing tools for molecule representation, property calculation, and machine learning model development.
       

  13. DrugCore:

    • Website: DrugCore

    • DrugCore is an open-source molecular design platform with tools for designing new drugs, including molecule generation, property prediction, and ADMET prediction.
       

  14. ChemoChem:

    • Website: ChemoChem

    • ChemoChem is an open-source cheminformatics toolkit offering tools for molecule representation, property calculation, and reaction simulation.
       

  15. Chemical Design Automated (CDA):

    • Website: CDA

    • CDA is an open-source platform for chemical design automation, providing tools for designing new drugs, including molecule generation, property prediction, and ADMET prediction.

 

 

PRESTIGIOUS JOURNALS IN MEDICINAL CHEMISTRY

 

  1. Journal of Medicinal Chemistry (JMC)

    • Published by the American Chemical Society (ACS)

    • Impact factor: 164.546

    • Focus on the design, synthesis, and evaluation of new drugs and drug candidates.

    • Website
       

  2. European Journal of Medicinal Chemistry (EJMC)

    • Published by Elsevier

    • Impact factor: 141.460

    • Focus on the chemistry of medicinal agents and their biological interactions.

    • Website
       

  3. Medicinal Research Reviews (MRR)

    • Published by John Wiley & Sons

    • Impact factor: 110.735

    • Focus on critical reviews of recent advances in medicinal chemistry.

    • Website
       

  4. Natural Product Reports (NPR)

    • Published by the Royal Society of Chemistry (RSC)

    • Impact factor: 89.806

    • Focus on the chemistry and biological activities of natural products.

    • Website
       

  5. Current Medicinal Chemistry (CMC)

    • Published by Bentham Science Publishers

    • Impact factor: 66.930

    • Focus on the chemistry of medicinal agents, their biological interactions, and their clinical applications.

    • Website
       

  6. Bioorganic & Medicinal Chemistry (BMC)

    • Published by Elsevier

    • Impact factor: 57.419

    • Focus on the chemistry and biological activities of organic molecules with medicinal potential.

    • Website
       

  7. Expert Opinion on Drug Discovery (EODD)

    • Published by Taylor & Francis

    • Impact factor: 47.205

    • Focus on expert reviews of recent advances in drug discovery.

    • Website
       

  8. Expert Opinion on Therapeutic Patents (EOTP)

    • Published by Taylor & Francis

    • Impact factor: 38.229

    • Focus on expert reviews of recent advances in the patenting of therapeutic agents.

    • Website
       

  9. ACS Medicinal Chemistry Letters (MCL)

    • Published by the American Chemical Society (ACS)

    • Impact factor: 37.694

    • Focus on rapid publication of high-impact research in medicinal chemistry.

    • Website
       

  10. Journal of Enzyme Inhibition and Medicinal Chemistry (JEIMC)

    • Published by Taylor & Francis

    • Impact factor: 34.252

    • Focus on the chemistry and biological activities of enzyme inhibitors and their potential therapeutic applications.

    • Website

 

 

INTRO TO MEDICINAL CHEMISTRY

 

  • Medicinal Chemistry Overview:

    • Purpose: Medicinal chemistry is a specialized field of chemistry focused on the design, synthesis, and development of chemical compounds with therapeutic properties.

    • Goals: The primary goal is to discover and optimize molecules that can be used as drugs to treat diseases and improve human health.
       

  • Key Processes in Medicinal Chemistry:

    • Drug Discovery: Involves the identification of new potential drug candidates through various methods such as high-throughput screening, virtual screening, and natural product isolation.

    • Lead Optimization: The selected compounds undergo iterative modifications to enhance their efficacy, selectivity, and safety profiles, striking a balance between biological activity and pharmacokinetics.
       

  • Interdisciplinary Nature:

    • Biology Integration: Medicinal chemistry collaborates closely with biology and pharmacology to understand the biological targets of diseases and develop compounds that interact effectively with these targets.

    • Pharmacology Considerations: Medicinal chemists consider factors like absorption, distribution, metabolism, excretion, and toxicity (ADMET) to ensure the drug's effectiveness and safety.
       

  • Drug Development Phases:

    • Preclinical: Initial stages involve laboratory testing and animal studies to assess safety, efficacy, and pharmacokinetics.

    • Clinical: Promising candidates progress to clinical trials, with phases I, II, and III involving human testing, leading to regulatory approval if successful.
       

  • Differences from Other Chemistry Disciplines:

    • Focus on Therapeutic Effects: Medicinal chemistry centers on creating compounds that interact with biological targets to elicit therapeutic effects, distinguishing it from other fields with broader objectives.

    • Applied Nature: It has a highly applied nature, emphasizing the translation of chemical knowledge into tangible medical solutions.

    • Drug-Specific Considerations: Medicinal chemists must navigate the complexities of developing compounds for specific drug targets, considering factors like selectivity, bioavailability, and safety.
       

  • Role in Healthcare Advancements:

    • Disease Treatment: Medicinal chemistry plays a pivotal role in advancing treatments for various diseases, ranging from infections to chronic conditions.

    • Innovation Driver: Continuous innovation in medicinal chemistry contributes to the development of novel drugs, fostering breakthroughs in medical science.
       

  • Challenges and Future Directions:

    • Precision Medicine: Advancements in medicinal chemistry aim to tailor drug treatments to individual patients, considering genetic and molecular variations.

    • Drug Resistance: Addressing challenges like drug resistance remains a priority, driving ongoing research in the field.
       

Medicinal chemistry stands at the intersection of chemistry and healthcare, striving to create effective and safe drugs that alleviate human suffering and contribute to the improvement of global health.

 

 

25 RECENT BREAKTHROUGHS IN MEDICINAL CHEMISTRY

 

  • The development of new antibiotics

  • One of the biggest challenges in medicinal chemistry is the development of new antibiotics to combat the growing threat of antibiotic resistance. In recent years, there have been a number of promising new antibiotics developed, including some that are effective against multidrug-resistant bacteria.
     

  • The development of new cancer therapies

  • Cancer is still one of the leading causes of death worldwide, but there have been significant advances in cancer therapy in recent years. New drugs that target specific cancer cells, such as monoclonal antibodies and kinase inhibitors, are becoming increasingly effective.
     

  • The development of new treatments for neurodegenerative diseases

  • Neurodegenerative diseases such as Alzheimer's and Parkinson's disease are currently incurable, but there has been some progress in developing new treatments. For example, there are now drugs that can slow the progression of Alzheimer's disease.
     

  • The development of new vaccines

  • Vaccination is one of the most effective ways to prevent infectious diseases, and there have been a number of new vaccines developed in recent years. These include vaccines for HPV, shingles, and meningococcal meningitis.
     

  • The development of new gene therapies

  • Gene therapy is a promising new approach to treating diseases that are caused by genetic defects. In recent years, there have been a number of successful gene therapy trials, and this technology is now being used to treat a variety of diseases, including sickle cell anemia and cystic fibrosis.
     

  • The development of new personalized medicine therapies

  • Personalized medicine is an approach to healthcare that takes into account the individual's genetic makeup and other factors to tailor treatments to the specific patient. This approach is becoming increasingly common, and there have been a number of successful personalized medicine therapies developed in recent years.
     

  • The development of new 3D printing technologies for medical applications

  • 3D printing is a technology that can be used to create three-dimensional objects from digital files. This technology is being used to develop a variety of medical applications, including implants, prosthetics, and drug delivery devices.
     

  • The development of new artificial intelligence (AI) technologies for medical applications

  • AI is being used to develop a variety of medical applications, including diagnostic tools, treatment planning software, and robotic surgery.
     

  • The development of new nanotechnology for medical applications

  • Nanotechnology is being used to develop a variety of medical applications, including drug delivery devices, biosensors, and imaging agents.
     

  • The development of new stem cell therapies

  • Stem cells are cells that have the ability to develop into different types of cells. They are being studied as a potential treatment for a variety of diseases, including cancer, heart disease, and spinal cord injury.
     

  • The development of new gene editing technologies

  • Gene editing is a technology that can be used to make precise changes to the DNA sequence of cells. This technology is being studied as a potential treatment for a variety of diseases, including genetic disorders and cancer.
     

  • The development of new biomarkers for disease diagnosis and prognosis

  • Biomarkers are molecules that can be used to detect or measure disease. New biomarkers are being developed for a variety of diseases, which could lead to earlier diagnosis and better treatment.
     

  • The development of new drug delivery technologies

  • New drug delivery technologies are being developed to improve the effectiveness of drugs and reduce side effects. These technologies include nanoparticles, liposomes, and prodrugs.
     

  • The development of new clinical trial designs

  • New clinical trial designs are being developed to make trials more efficient and effective. These designs include adaptive trials and platform trials.
     

  • The development of new regulatory pathways for drugs and medical devices

  • New regulatory pathways are being developed to streamline the approval process for drugs and medical devices. These pathways could lead to faster access to new treatments for patients.
     

  • The development of new global health initiatives

  • New global health initiatives are being developed to address health challenges in developing countries. These initiatives could lead to improved health outcomes for millions of people.
     

  • The development of new public-private partnerships

  • New public-private partnerships are being developed to accelerate the development of new medical products. These partnerships could lead to faster access to new treatments for patients.
     

  • The development of new open-source platforms for drug discovery

  • New open-source platforms are being developed to make drug discovery more accessible and collaborative. These platforms could lead to the development of new drugs faster and more efficiently.
     

  • The development of new big data analytics tools for drug discovery

  • New big data analytics tools are being developed to help researchers analyze large datasets of chemical and biological data. These tools could lead to the discovery of new drug targets and new drug candidates.
     

  • The development of new computational methods for drug design New computational methods are being developed to help researchers design new drugs. These methods could lead to the development of new drugs with improved properties and increased efficacy.
     

  • The development of new high-throughput screening methods for drug discovery New high-throughput screening methods are being developed to help researchers identify new drug candidates. These methods could lead to the discovery of new drugs faster and more efficiently.
     

  • The development of new animal models for drug discovery New animal models are being developed to help researchers test new drugs in the laboratory. These models could lead to the development of new drugs with improved efficacy and safety.
     

  • The development of new patient-derived organoids for drug discovery Patient-derived organoids are small, three-dimensional cultures of cells that are grown in the laboratory from patient samples. They are being used to help researchers develop new drugs that are more effective against specific diseases.
     

  • The development of new clinical trials in rare diseases Clinical trials in rare diseases are often difficult to conduct because there are few patients available to participate. New approaches are being developed to make these trials more efficient and effective.
     

  • The development of new approaches to drug pricing The high cost of new drugs is a major challenge for healthcare systems around the world. New approaches are being developed to make drugs more affordable, such as value-based pricing and performance-based pricing.


     

BONUS 2023 MEDICINAL CHEMISTRY RESOURCES

 

  1. Journal of Medicinal Chemistry - ACS Publications

    • Peer-reviewed scientific journal covering all aspects of medicinal chemistry.

    • Website
       

  2. Extracting Medicinal Chemistry Intuition via Preference Machine Learning | Nature Communications

    • Presents a novel machine learning approach for extracting medicinal chemistry intuition.

    • Website
       

  3. Journal of Medicinal Chemistry: List of Issues

    • Provides a comprehensive list of all issues of the Journal of Medicinal Chemistry.

    • Website
       

  4. CHM 4292 - Introduction to Medicinal Chemistry - Acalog ACMS™

    • Overview of the Introduction to Medicinal Chemistry course at the University of Florida College of Pharmacy.

    • Website
       

  5. Department of Medicinal Chemistry » College of Pharmacy » University of Florida

    • Information about the Department of Medicinal Chemistry at the University of Florida College of Pharmacy.

    • Website
       

  6. Medicinal Chemistry & Drug Discovery: ChemistrySelect - Chemistry Europe

    • Information about the Medicinal Chemistry & Drug Discovery section of ChemistrySelect.

    • Website
       

  7. Frontiers in Chemistry | Medicinal and Pharmaceutical Chemistry

    • Information about the Medicinal and Pharmaceutical Chemistry section of Frontiers in Chemistry.

    • Website
       

  8. ChEMBL Database

    • A freely available database of bioactivity data for over 1.7 million compounds.

    • Website
       

  9. Chemaxon

    • A company that develops software for cheminformatics and drug discovery.

    • Website
       

  10. Open Source Drug Discovery with Bioclipse | Bentham Science

    • Information about Bioclipse, an open-source cheminformatics platform for drug discovery.

    • Website
       

  11. Chemistry - Open Educational Resources (OER) - LibGuides at CUNY Hunter College

    • A list of open educational resources (OER) for chemistry.

    • Website
       

  12. Journal of Cheminformatics期刊最新论文, 化学/材料 - X-MOL

    • Lists recent articles published in the Journal of Cheminformatics.

    • Website
       

  13. Codacy Pioneers

    • Codacy is a company that develops software for code quality analysis.

    • Website
       

  14. ChEMBL Database in 2023: a Drug Discovery Platform Spanning Multiple Bioactivity Data Types and Time Periods | Nucleic Acids Research | Oxford Academic

    • Overview of the ChEMBL Database in 2023.

    • Website
       

  15. Metabolomics and Medicinal Chemistry: Unveiling New Pathways to Drug Discovery

    • Information about the Metabolomics and Medicinal Chemistry section of the Journal of Medicinal Chemistry.

    • Website
       

  16. The Latest Innovations in Medicinal Chemistry | Lab Manager

    • Information about the latest innovations in medicinal chemistry.

    • Website
       

  17. UChicago Chemists Studying Possible Pharmaceutical Breakthrough | Crain's Chicago Business

    • Discusses a study by University of Chicago chemists exploring a potential pharmaceutical breakthrough.

    • Website
       

  18. The Sustainability Impact of Nobel Prize Chemistry: Life Cycle Assessment of C–C Cross-Coupling Reactions - Green Chemistry (RSC Publishing)

    • Assesses the sustainability impact of C–C cross-coupling reactions.

    • Website

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